Posted:4 days ago|
Platform:
Remote
Full Time
We’re looking for a hands-on AI Tech Lead to join us in building our core AI agent stack. As
the technical owner of our AI systems, you’ll lead a small and focused team of engineers to
design, build, and deploy intelligent agents that deliver measurable business outcomes.
You’ll play a foundational role in shaping both the product and the engineering culture.
● Architect and lead the development of LLM-powered autonomous agents and
tool-using workflows
● Manage and mentor a lean team of ML and software engineers
● Own the AI infrastructure pipeline: from data ingestion and training to evaluation and
deployment
● Integrate open-source LLMs, vector stores, orchestration frameworks (e.g.
LangChain, CrewAI, Autogen), and retrieval mechanisms
● Collaborate cross-functionally with product and design to align tech with business
value
● Continuously evaluate new models, frameworks, and tools to improve performance
and scalability
● Establish coding, documentation, and MLOps best practices within the team
● 4+ years of work experience in a technical field; at least 2 years building LLM-based
applications or agents
● Proficient in Python, with strong knowledge of PyTorch, HuggingFace, LangChain, or
similar frameworks
● Hands-on experience with autonomous agents, retrieval-augmented generation
(RAG), and multi-agent orchestration
● Deep understanding of LLM internals, prompt engineering, and model fine-tuning
● Experience with cloud infrastructure (AWS, GCP, or Azure), containerization
(Docker), and deployment pipelines
● Strong leadership skills with a bias for execution in fast-paced environments
● Startup mindset: proactive, resourceful, and outcome-driven
● Work at the cutting edge of AI with real enterprise impact.
● Shape foundational agentic AI solutions used across industries.
● High ownership, fast iterations, and room to experiment.
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